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Published on: November 8, 2015
Time-series analysis in the medical domain: a study of Tacrolimus administration and influence on kidney graft
Vladimir Kurbalija1, Miloš Radovanović1, Mirjana Ivanović1
1University of Novi Sad, Faculty of Science, Department of Mathematics and Informatics, Trg D. Obradovića 4, 21000 Novi Sad, Serbia.
Abstract:
There exists a major concern regarding toxic effects of immunosuppressive medication on the kidney graft during post-transplant care, with observed variation in individual susceptibility to adverse drug effects amongst patients. To date, there has been no possibility to identify susceptible patients prospectively. This study analyzes medical data which includes time series of measures of renal function and trough levels of immunosuppressive drug Tacrolimus, with the main aim of identifying patients susceptible to drug toxicity. We evaluate a plethora of time-series distance measures, determining their appropriateness to the domain based on two criteria: (1) preserving the expected correlations between distances, and (2) ability to detect the expected patterns of interaction between immunosuppressive drug levels and renal function. Besides identifying the most suitable time-series distance measures, we observed that the majority of patients do not exhibit an association between impaired graft function and higher Tacrolimus dosing. On the other hand, the minority of patients determined most sensitive to varying Tacrolimus levels showed a strong tendency to prefer low Tacrolimus dosing.
Insights
Identifying kidney transplant patients susceptible to Tacrolimus toxicity is crucial. This study found sensitive patients may benefit from lower Tacrolimus dosing, unlike most recipients.
Area of Science:
- Nephrology
- Pharmacology
- Biomedical Engineering
Background:
- Kidney transplant recipients face risks from immunosuppressive drugs like Tacrolimus.
- Individual patient susceptibility to Tacrolimus toxicity varies, hindering prospective identification.
- Monitoring renal function and drug levels is key in post-transplant care.
Purpose of the Study:
- To identify kidney transplant patients susceptible to Tacrolimus-induced toxicity.
- To evaluate time-series distance measures for detecting drug toxicity patterns.
- To analyze the relationship between Tacrolimus levels and renal function in transplant patients.
Main Methods:
- Analysis of time-series data including renal function and Tacrolimus trough levels.
- Evaluation of various time-series distance measures based on correlation and pattern detection.
- Prospective identification of patient susceptibility to drug toxicity.
Main Results:
- Identified optimal time-series distance measures for assessing Tacrolimus toxicity.
- Found most patients show no correlation between impaired renal function and high Tacrolimus dosing.
- A minority of sensitive patients demonstrated a preference for low Tacrolimus dosing.
Conclusions:
- Time-series analysis can help identify patients susceptible to Tacrolimus toxicity.
- Sensitive kidney transplant patients may require individualized, potentially lower, Tacrolimus dosing strategies.
- Further research into personalized immunosuppression is warranted for improved graft survival.
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